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Improving the Performance of Pseudo-Random Single-Photon Counting Ranging Lidar
Yang Yu1,2, Bo Liu3, Zhen Chen1
1Institute of Optics and Electronics, Chinese Academy of Sciences, Chengdu 610209, China.
Sensors (Basel, Switzerland)
|August 23, 2019
Summary
A novel encoding method enhances pseudo-random single-photon counting ranging (PSPCR) Lidar performance. This new approach, validated by simulation and experiment, offers superior ranging capabilities compared to traditional PSPCR Lidar systems.
Area of Science:
- Optics and Photonics
- Signal Processing
- Remote Sensing
Background:
- Pseudo-random single-photon counting ranging (PSPCR) Lidar systems face performance limitations.
- Detector dead time significantly impacts detection probability in Lidar systems.
- Quantitative analysis of traditional PSPCR Lidar is crucial for performance improvement.
Purpose of the Study:
- To introduce a new encoding method for enhanced PSPCR Lidar performance.
- To analyze the impact of detector dead time on Lidar detection probability.
- To quantitatively evaluate detection probability and efficiency using macro code analysis.
Main Methods:
- Theoretical derivation and Monte Carlo simulation to analyze detector dead time effects.
- Development and presentation of a new encoding principle and methodology.
- Quantitative analysis using macro code as the analysis unit for PSPCR Lidar systems.
Main Results:
- The proposed encoding method improves PSPCR Lidar performance.
- Detector dead time's influence on detection probability was theoretically derived and simulated.
- Macro code analysis provided quantitative insights into detection probability and efficiency.
Conclusions:
- The novel encoding method offers superior ranging performance for PSPCR Lidar.
- Understanding detector dead time is critical for optimizing Lidar systems.
- The proposed method represents a significant advancement in PSPCR Lidar technology.
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